SOTAVerified

Meta-Learning

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–925 of 3569 papers

TitleStatusHype
Consistency of Compositional Generalization across Multiple LevelsCode0
MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules—0
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypesCode0
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks—0
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling—0
LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification—0
Memory-Reduced Meta-Learning with Guaranteed Convergence—0
Generalizable Representation Learning for fMRI-based Neurological Disorder IdentificationCode0
Meta Curvature-Aware Minimization for Domain Generalization—0
ViSymRe: Vision-guided Multimodal Symbolic Regression—0
Label-template based Few-Shot Text Classification with Contrastive Learning—0
Neural Networks for Threshold Dynamics ReconstructionCode0
Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks—0
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement LearningCode0
SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement—0
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis—0
Model-Agnostic Meta-Learning for Fault Diagnosis of Induction Motors in Data-Scarce Environments with Varying Operating Conditions and Electric Drive Noise—0
The broader spectrum of in-context learning—0
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems—0
Task-driven Image Fusion with Learnable Fusion Loss—0
Efficient Model Compression Techniques with FishLeg—0
Reinforcement learning to learn quantum states for Heisenberg scaling accuracyCode0
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot LearningCode0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks—0
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All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified